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High dynamic range

About: High dynamic range is a research topic. Over the lifetime, 4280 publications have been published within this topic receiving 76293 citations. The topic is also known as: HDR.


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Patent
21 Dec 2001
TL;DR: In this article, a method for increasing the dynamic light intensity range of an image by combining pixel data from multiple images collected at different levels of illumination intensity to create a single floating-point image representation of an observed scene is presented.
Abstract: A method for increasing the dynamic light intensity range of an image by combining pixel data from multiple images collected at different levels of illumination intensity to create a single floating-point image representation of an observed scene.

91 citations

Journal ArticleDOI
TL;DR: In this paper, the Gatan 679 slow-scan CCD camera was used for electron microscopy and it was shown that 20% of the true intensity is recorded at the highest detectable spatial frequency (Nyquist frequency), limited mostly by the modulation transfer function of the YAG scintillator.
Abstract: New ways to measure detection properties of slow‐scan charge‐coupled device (CCD) cameras suitable for electron microscopy, mainly based on the statistics of single‐electron events, are discussed. The experiments concentrate on the newly introduced Gatan 679 slow‐scan CCD camera. It has been established that for this instrument (if equipped with a thin YAG scintillator) 20% of the true intensity is recorded at the highest detectable spatial frequency (Nyquist frequency), limited mostly by the modulation transfer function of the YAG scintillator. The detection quantum efficiency is 0.45 for single 100‐kV electrons and 0.15 for single 400‐kV electrons, and is approaching unity for intensities higher than ten electrons. Furthermore, nonlinearity of the response is smaller than deviations in the image intensity due to shot noise. Examples are presented illustrating the detection properties of slow‐scan CCD cameras for electron imaging, which also include high dynamic range and negligible geometric distortion.

89 citations

Patent
07 Nov 1996
TL;DR: In this article, a wide dynamic range image sensor provides individual pixel reset to vary the integration time of individual pixels, which is controlled by column and row reset control signals which activate a logical reset transistor only when both signals coincide for a given pixel.
Abstract: A wide dynamic range image sensor provides individual pixel reset to vary the integration time of individual pixels. The integration time of each pixel is controlled by column and row reset control signals which activate a logical reset transistor only when both signals coincide for a given pixel.

88 citations

Journal ArticleDOI
TL;DR: A hardware implementation is described which achieves 70 dB spurious-free dynamic range and a bandwidth of 30 kHz and the bandpass to low-pass translation is accomplished by undersampling.
Abstract: Many radio and sonar systems require signal outputs in complex low-pass form. To achieve this, it is possible to use uniform sampling of the bandpass signal, together with computation of the quadrature component by way of a Hilbert transform. The bandpass to low-pass translation is accomplished by undersampling. A hardware implementation is described which achieves 70 dB spurious-free dynamic range and a bandwidth of 30 kHz.

88 citations

Proceedings ArticleDOI
01 Oct 2017
TL;DR: In this article, a deep autoencoder framework is proposed to regress linear, high dynamic range data from non-linear, saturated, low dynamic range panoramas, and recover the HDR after the fact via a learning-based inverse tonemapping method.
Abstract: Outdoor lighting has extremely high dynamic range. This makes the process of capturing outdoor environment maps notoriously challenging since special equipment must be used. In this work, we propose an alternative approach. We first capture lighting with a regular, LDR omnidirectional camera, and aim to recover the HDR after the fact via a novel, learning-based inverse tonemapping method. We propose a deep autoencoder framework which regresses linear, high dynamic range data from non-linear, saturated, low dynamic range panoramas. We validate our method through a wide set of experiments on synthetic data, as well as on a novel dataset of real photographs with ground truth. Our approach finds applications in a variety of settings, ranging from outdoor light capture to image matching.

88 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023122
2022263
2021164
2020243
2019238
2018262